Comments (16)
Hi Guys,
Sorry for the delayed response.
Here is a link to the model.
https://drive.google.com/file/d/1F6ll_HyyrhjWjC3J74kBdT--4a9hPMX6/view?usp=sharing
@egorsmkv @jain11vaibhav @desperado1999 @darkdante2209 @GeorgiyNaumenko @JoonHong-Kim @ruchind159
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@darkdante2209 @desperado1999 Hi I trained model on open source librimix
dataset and I hope if you just want the demonstration for academic research purpose than it might help you. As I don't have much resources to train, I trained it on just 31 epochs. Accuracy is still bad 0.04 train and 0.64 valid loss. It is underfitting but I don't have enough time to look at it. At least you can test it out.
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I trained the model on the toy dataset for about 500 Epochs
I could give you the link to my model if you want
It does pretty good on some files
Will have to train on a larger dataset.
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Sure, @adamfils , release a link to your models, please
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Any updates on pretrained models?
Would be great to get access.
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hi @adamfils, Can share the link of your trained model Please ?
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Hi, @adamfils , Could you share the link of your model too? I need to use this model urgently.
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I too would like access to a pre trained model. I have a slow machine with only a CPU. This seems to be a recurring issue here.
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Ditto on being very grateful for access to that pre trained model
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Hi, @adamfils, it would be great if you gave the access to the pre-trained model :)
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Yes it would be great if someone could share a pre-trained model they've had success with.
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Hi @adamfils , could you please share your pretrained model, thanks alot
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Hi @adamfils could you please share your pretrained model, thanks very much
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Hi, @adamfils , Could you please share the link of your model too? I need to do the inference for the data I have.
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@darkdante2209 @desperado1999 Hi I trained model on open source
librimix
dataset and I hope if you just want the demonstration for academic research purpose than it might help you. As I don't have much resources to train, it took 2 weeks for just 19 epochs on Gtx 1070. Accuracy is still bad 0.6 train loss. svoice_demo
WoW! Thanks very much! Recently I am trying to train svoice on another dataset similar to LibriMix ( the sources in each mixed file are from the same speaker), and I think your pretrianed model could significantly help me reduce my training time.
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hye @adamfils, is this a 2-speaker separation model? On which data did you train it?
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Related Issues (20)
- RuntimeError: stack expects each tensor to be equal size HOT 3
- Execute make_dataset err(ValueError: low >= high) HOT 2
- make_dataset.py is slow to generate samples HOT 3
- fixed speaker HOT 2
- sisnr nan HOT 1
- Function 'DivBackward0' returned nan values in its 1th output HOT 2
- Anyone got good results?
- RuntimeError: Offset past EOF
- Please help me
- Pre trained model HOT 1
- How to train using TPU?
- got soundfile.LibsndfileError: <unprintable LibsndfileError object> when execute train.py HOT 7
- how to solve cuda out of memory when execute train.py ? have tried to reduce batch size to 1 but problem still persist HOT 1
- I need help with this problem: cannot import name 'get_ref_type' from 'omegaconf._utils'
- Transfer Learning/ Improving performance of the base model
- soundfile.LibsndfileError: <unprintable LibsndfileError object> HOT 2
- Modify the Loss function for Partial/or non overlapping data.
- Access is denied error
- TypeError: cannot unpack non-iterable AudioMetaData object HOT 1
- Invalid argument: num_frames must be -1 or greater than 0. HOT 3
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